The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "71704885 (up from 71081574 yesterday: 0.88 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1605017 (up from 1594777 yesterday: 0.64 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13498144

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.24



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 16062299 219510 1.39 3958243 297818 2368 0.80 1.85
India 9857029 30254 0.31 761223 143019 391 0.27 1.45
Brazil 6880127 43900 0.64 827341 181123 686 0.38 2.63
Russia 2602048 27729 1.08 554485 45923 553 1.22 1.76
France 2405255 45 0.00 227232 57671 0 0.00 2.40
United Kingdom 1835949 21554 1.19 338814 64123 520 0.82 3.49
Italy 1825775 19902 1.10 445244 64036 649 1.02 3.51
Turkey 1809809 29136 1.64 1369004 16199 222 1.39 0.90
Spain 1730575 0 0.00 173845 47624 0 0.00 2.75
Argentina 1494602 5274 0.35 128420 40668 62 0.15 2.72
Colombia 1417072 8163 0.58 176579 38866 197 0.51 2.74
Germany 1336101 21792 1.66 408111 21900 333 1.54 1.64
Mexico 1241436 12057 0.98 208748 113704 685 0.61 9.16
Poland 1126700 11499 1.03 283225 22676 502 2.26 2.01
Iran 1100818 8411 0.77 259510 51949 222 0.43 4.72
Peru 980943 1832 0.19 32862 36544 45 0.12 3.73
Ukraine 908839 13219 1.48 278989 15528 250 1.64 1.71
South Africa 852965 7882 0.93 87556 23106 154 0.67 2.71
Netherlands 613630 9178 1.52 126810 10104 53 0.53 1.65
Indonesia 611631 6388 1.06 118323 18653 142 0.77 3.05
Belgium 603159 2762 0.46 46255 17792 100 0.57 2.95
Czechia 575422 6217 1.09 84672 9450 109 1.17 1.64
Iraq 573622 1022 0.18 40067 12565 16 0.13 2.19
Chile 569781 1807 0.32 30638 15846 64 0.41 2.78
Romania 551900 6333 1.16 139092 13264 148 1.13 2.40
Bangladesh 489178 1329 0.27 43897 7020 34 0.49 1.44
Canada 458527 5984 1.32 129336 13367 100 0.75 2.92
Philippines 448331 1292 0.29 31479 8730 21 0.24 1.95
Pakistan 438425 3369 0.77 64252 8796 72 0.83 2.01
Morocco 397597 3033 0.77 76635 6589 47 0.72 1.66
Switzerland 373831 0 0.00 83230 5976 48 0.81 1.60
Saudi Arabia 359749 166 0.05 4715 6036 13 0.22 1.68
Israel 355786 2517 0.71 27235 2983 14 0.47 0.84
Portugal 344700 4413 1.30 88730 5461 88 1.64 1.58
Sweden 320098 0 0.00 111803 7514 0 0.00 2.35
Austria 319822 3241 1.02 77860 4415 126 2.94 1.38
Hungary 276247 5047 1.86 105949 6784 162 2.45 2.46
Serbia 261437 5679 2.22 145312 2275 48 2.16 0.87
Jordan 257275 1816 0.71 79114 3335 49 1.49 1.30
Nepal 247593 899 0.36 28954 1689 15 0.90 0.68
Ecuador 201524 759 0.38 16648 13874 16 0.12 6.88
Panama 190585 2806 1.49 37008 3331 22 0.66 1.75
Georgia 187006 3907 2.13 86322 1744 50 2.95 0.93
Kazakhstan 185513 956 0.52 19045 2552 1 0.04 1.38
United Arab Emirates 183755 1154 0.63 25970 609 2 0.33 0.33
Bulgaria 178952 1287 0.72 58255 5626 64 1.15 3.14
Japan 178272 2962 1.69 47401 2462 16 0.65 1.38
Croatia 172523 4135 2.46 72113 2562 78 3.14 1.49
Azerbaijan 171423 4268 2.55 81525 1883 43 2.34 1.10
Belarus 158334 1975 1.26 35899 1254 8 0.64 0.79
Dominican Republic 153585 1133 0.74 15815 2360 1 0.04 1.54
Costa Rica 150947 0 0.00 21529 1895 0 0.00 1.26
Armenia 147312 995 0.68 22473 2462 17 0.70 1.67
Bolivia 147030 333 0.23 3108 9014 1 0.01 6.13
Kuwait 146044 255 0.17 6310 911 1 0.11 0.62
Lebanon 145245 1540 1.07 29962 1190 8 0.68 0.82
Qatar 140827 147 0.10 3765 240 0 0.00 0.17
Slovakia 130794 3707 2.92 35537 1148 26 2.32 0.88
Guatemala 129099 558 0.43 10682 4405 29 0.66 3.41
Moldova 125723 1459 1.17 29034 2547 26 1.03 2.03
Oman 125669 0 0.00 4309 1463 0 0.00 1.16
Greece 123842 1194 0.97 33721 3540 68 1.96 2.86
Egypt 121089 478 0.40 8413 6898 21 0.31 5.70
Ethiopia 116297 515 0.44 10945 1803 12 0.67 1.55
Honduras 114043 335 0.29 9608 2974 3 0.10 2.61
Tunisia 110393 1289 1.18 22922 3836 35 0.92 3.47
West Bank and Gaza 108099 1477 1.39 37845 961 30 3.22 0.89
Denmark 107660 3557 3.42 37508 935 8 0.86 0.87
Burma 107215 1352 1.28 29367 2245 25 1.13 2.09
Venezuela 107177 462 0.43 7742 949 5 0.53 0.89
Bosnia and Herzegovina 100306 763 0.77 20997 3298 48 1.48 3.29

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 1549176 32961 2.17 443741 20958 171 0.82 1.35 39207.51 530.42 1 in 26
Texas 1400728 11819 0.85 256304 24347 204 0.84 1.74 48307.83 839.67 1 in 21
Florida 1116973 10577 0.96 185146 19785 71 0.36 1.77 52006.08 921.19 1 in 19
Illinois 841688 8737 1.05 195402 15231 164 1.09 1.81 66422.02 1201.96 1 in 15
New York 764966 11129 1.48 174143 35441 84 0.24 4.63 39322.67 1821.83 1 in 25
Ohio 553461 11252 2.08 210175 7477 51 0.69 1.35 47348.47 639.66 1 in 21
Georgia 538040 6447 1.21 91236 10075 44 0.44 1.87 50675.20 948.91 1 in 20
Pennsylvania 485330 9081 1.91 178342 12371 188 1.54 2.55 37910.52 966.33 1 in 26
Wisconsin 465991 4624 1.00 93772 4324 58 1.36 0.93 80033.71 742.64 1 in 12
Michigan 465159 4813 1.05 136138 11195 230 2.10 2.41 46577.12 1120.97 1 in 21
Tennessee 442953 6691 1.53 107066 5400 73 1.37 1.22 64823.90 790.26 1 in 15
North Carolina 429776 6153 1.45 97515 5796 44 0.76 1.35 40977.55 552.63 1 in 24
Indiana 419536 7401 1.80 130353 6758 85 1.27 1.61 62317.64 1003.83 1 in 16
Arizona 402589 8077 2.05 107255 7322 77 1.06 1.82 52868.64 961.54 1 in 19
New Jersey 396496 6240 1.60 94457 17732 70 0.40 4.47 44639.44 1996.35 1 in 22
Minnesota 375398 4430 1.19 112446 4418 67 1.54 1.18 66564.27 783.38 1 in 15
Missouri 350388 6976 2.03 77567 4602 51 1.12 1.31 57090.36 749.83 1 in 18
Alabama 292841 4066 1.41 62133 4102 16 0.39 1.40 59724.65 836.60 1 in 17
Massachusetts 285725 5289 1.89 81570 11307 50 0.44 3.96 41114.45 1627.02 1 in 24
Colorado 285634 3961 1.41 90955 3871 25 0.65 1.36 49600.12 672.20 1 in 20
Virginia 278615 4177 1.52 62936 4409 39 0.89 1.58 32641.83 516.55 1 in 31
Louisiana 264191 0 0.00 47482 6767 0 0.00 2.56 56830.01 1455.65 1 in 18
Iowa 255009 1397 0.55 45806 3208 15 0.47 1.26 80825.15 1016.78 1 in 12
South Carolina 248798 3572 1.46 43780 4685 12 0.26 1.88 48322.36 909.94 1 in 21
Oklahoma 233336 3983 1.74 62412 2042 35 1.74 0.88 58968.34 516.05 1 in 17
Maryland 232009 3538 1.55 52038 5100 36 0.71 2.20 38376.00 843.58 1 in 26
Utah 231821 3692 1.62 57842 1038 13 1.27 0.45 72309.43 323.77 1 in 14
Kentucky 220659 3540 1.63 64751 2192 24 1.11 0.99 49390.14 490.64 1 in 20
Washington 199735 4181 2.14 58475 2879 0 0.00 1.44 26229.52 378.07 1 in 38
Kansas 188460 142 0.08 51394 2072 0 0.00 1.10 64689.22 711.22 1 in 15
Arkansas 184252 2628 1.45 40431 2911 36 1.25 1.58 61054.57 964.60 1 in 16
Nevada 183949 2639 1.46 52216 2520 41 1.65 1.37 59720.68 818.14 1 in 17
Mississippi 177947 2665 1.52 35546 4180 56 1.36 2.35 59791.03 1404.50 1 in 17
Nebraska 147688 811 0.55 34659 1365 22 1.64 0.92 76347.91 705.64 1 in 13
Connecticut 146761 0 0.00 45292 5363 0 0.00 3.65 41163.87 1504.23 1 in 24
Idaho 120632 1022 0.85 29798 1169 18 1.56 0.97 67314.52 652.32 1 in 15
New Mexico 118358 1793 1.54 38918 1913 24 1.27 1.62 56446.19 912.33 1 in 18
Oregon 92839 1419 1.55 29171 1150 12 1.05 1.24 22011.57 272.66 1 in 45
South Dakota 90407 735 0.82 18193 1243 33 2.73 1.37 102194.18 1405.06 1 in 10
North Dakota 87590 376 0.43 16050 1152 22 1.95 1.32 114938.15 1511.69 1 in 9
Montana 72644 774 1.08 18102 816 11 1.37 1.12 67969.21 763.49 1 in 15
Rhode Island 70818 0 0.00 22817 1509 0 0.00 2.13 66849.73 1424.44 1 in 15
West Virginia 62151 1514 2.50 22553 966 28 2.99 1.55 34776.66 540.53 1 in 29
Puerto Rico 61723 721 1.18 15289 1266 17 1.36 2.05 19326.52 396.41 1 in 52
Delaware 44876 1058 2.41 13555 815 8 0.99 1.82 46085.09 836.96 1 in 22
Alaska 40497 522 1.31 13273 176 18 11.39 0.43 55358.18 240.59 1 in 18
Wyoming 38907 122 0.31 11497 321 0 0.00 0.83 67224.87 554.64 1 in 15
New Hampshire 30244 784 2.66 12929 600 10 1.69 1.98 22242.96 441.27 1 in 45
District of Columbia 24643 286 1.17 4682 713 4 0.56 2.89 34917.51 1010.27 1 in 29
Hawaii 19511 196 1.01 2150 271 2 0.74 1.39 13780.20 191.40 1 in 73
Maine 15620 414 2.72 5497 257 7 2.80 1.65 11620.19 191.19 1 in 86
Vermont 5626 85 1.53 2080 95 2 2.15 1.69 9016.18 152.25 1 in 111

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 26886130 1549176 5.76 4914298 443741 9.03 680451.0
2 Texas 12089105 1400728 11.59 2180976 256304 11.75 416924.9
3 Florida 13741998 1116973 8.13 2171839 185146 8.52 639825.2
4 Illinois 11713184 841688 7.19 2004202 195402 9.75 924348.9
5 New York 21757045 764966 3.52 3957304 174143 4.40 1118409.4
6 Ohio 6840149 553461 8.09 1230554 210175 17.08 585173.3
7 Georgia 4696707 538040 11.46 610565 91236 14.94 442358.5
8 Pennsylvania 3506371 485330 13.84 535131 178342 33.33 273892.7
9 Wisconsin 4821001 465991 9.67 698822 93772 13.42 828004.4
10 Michigan 7341990 465159 6.34 1177737 136138 11.56 735165.2
11 Tennessee 4909997 442953 9.02 640937 107066 16.70 718552.9
12 North Carolina 5936625 429776 7.24 1058549 97515 9.21 566035.2
13 Indiana 4879677 419536 8.60 1033297 130353 12.62 724824.5
14 Arizona 2486863 402589 16.19 403220 107255 26.60 326578.8
15 New Jersey 6593252 396496 6.01 1025910 94457 9.21 742300.3
16 Minnesota 4691759 375398 8.00 1051582 112446 10.69 831926.4
17 Missouri 3314288 350388 10.57 415220 77567 18.68 540012.5
18 Alabama 1696439 292841 17.26 178253 62133 34.86 345987.2
19 Massachusetts 9477319 285725 3.01 1719837 81570 4.74 1363740.5
20 Colorado 3738103 285634 7.64 930465 90955 9.78 649118.7
21 Virginia 3670781 278615 7.59 599646 62936 10.50 430059.5
22 Louisiana 3739272 264191 7.07 529895 47482 8.96 804353.1
23 Iowa 1119355 255009 22.78 92282 45806 49.64 354779.8
24 South Carolina 2655328 248798 9.37 430076 43780 10.18 515726.5
25 Oklahoma 2343815 233336 9.96 383246 62412 16.29 592325.5
26 Maryland 4969984 232009 4.67 879152 52038 5.92 822072.0
27 Utah 2009755 231821 11.53 303151 57842 19.08 626881.3
28 Kentucky 2874157 220659 7.68 466286 64751 13.89 643323.1
29 Washington 3285936 199735 6.08 408042 58475 14.33 431514.4
30 Kansas 890717 188460 21.16 126824 51394 40.52 305740.1
31 Arkansas 1843031 184252 10.00 262090 40431 15.43 610715.0
32 Nevada 1813755 183949 10.14 306691 52216 17.03 588851.7
33 Mississippi 1204247 177947 14.78 154855 35546 22.95 404632.6
34 Nebraska 1539401 147688 9.59 296148 34659 11.70 795799.5
35 Connecticut 3695091 146761 3.97 766031 45292 5.91 1036407.7
36 Idaho 502070 120632 24.03 54069 29798 55.11 280162.8
37 New Mexico 1719109 118358 6.88 274988 38918 14.15 819861.3
38 Oregon 2242771 92839 4.14 1241524 29171 2.35 531747.5
39 South Dakota 350215 90407 25.81 41045 18193 44.32 395875.7
40 North Dakota 1163049 87590 7.53 146020 16050 10.99 1526186.9
41 Montana 718502 72644 10.11 110000 18102 16.46 672265.0
42 Rhode Island 1717567 70818 4.12 301539 22817 7.57 1621323.6
43 West Virginia 1309396 62151 4.75 296353 22553 7.61 732673.9
45 Delaware 829032 44876 5.41 158676 13555 8.54 851368.5
46 Alaska 1133418 40497 3.57 214673 13273 6.18 1549348.3
47 Wyoming 440289 38907 8.84 281091 11497 4.09 760746.7
48 New Hampshire 905779 30244 3.34 150276 12929 8.60 666155.5
49 District of Columbia 770914 24643 3.20 152130 4682 3.08 1092334.5
50 Hawaii 731218 19511 2.67 106203 2150 2.02 516443.6
51 Maine 972410 15620 1.61 176854 5497 3.11 723405.2
52 Vermont 612312 5626 0.92 105769 2080 1.97 981286.5

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4412793 441327 2736 0.62 10.00 5289 717 85066 23666 5.36
Veneto 2981631 186549 5098 2.81 6.26 2609 345 88132 4769 2.56
Piemonte 1749139 184527 1443 0.79 10.55 3857 304 57861 7052 3.82
Campania 1788904 172746 1414 0.83 9.66 1794 137 94089 2275 1.32
Emilia-Romagna 2312385 142816 1807 1.28 6.18 2813 222 63972 6529 4.57
Lazio 2445445 138337 1194 0.87 5.66 2969 337 87318 2911 2.10
Toscana 1705743 111671 574 0.52 6.55 1221 228 19092 3117 2.79
Sicilia 1075330 77382 1016 1.33 7.20 1243 196 35761 1946 2.51
Puglia 888498 71797 1478 2.10 8.08 1587 194 51236 1911 2.66
Liguria 646433 55287 263 0.48 8.55 782 77 8469 2649 4.79
Friuli Venezia Giulia 809115 39516 884 2.29 4.88 654 59 14355 1215 3.07
Marche 452143 34317 451 1.33 7.59 487 86 12603 1390 4.05
Abruzzo 458795 31740 277 0.88 6.92 631 64 15144 1029 3.24
P.A. Bolzano 333319 26533 250 0.95 7.96 242 27 10622 634 2.39
Umbria 453903 26045 211 0.82 5.74 301 49 4884 517 1.99
Sardegna 417034 25645 168 0.66 6.15 586 61 14990 570 2.22
Calabria 395770 19568 235 1.22 4.94 352 22 9349 384 1.96
P.A. Trento 410271 18198 222 1.23 4.44 403 44 2436 765 4.20
Basilicata 165936 9375 85 0.91 5.65 114 14 6262 196 2.09
Valle d’Aosta 57784 6837 25 0.37 11.83 76 8 663 351 5.13
Molise 102658 5562 72 1.31 5.42 56 8 2544 160 2.88

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 161921 1898 1.19 7475 40 0.54 4.62 18965.47 875.53 1 in 53
Ontario 142171 1851 1.32 3949 18 0.46 2.78 9663.72 268.42 1 in 103
Alberta 78382 1590 2.07 697 13 1.90 0.89 17761.03 157.94 1 in 56
British Columbia 40797 0 0.00 598 0 0.00 1.47 7982.32 117.00 1 in 125
Manitoba 20750 358 1.76 483 18 3.87 2.33 15063.33 350.63 1 in 66
Saskatchewan 11749 274 2.39 86 11 14.67 0.73 9942.74 72.78 1 in 101
Nova Scotia 1409 7 0.50 65 0 0.00 4.61 1441.50 66.50 1 in 694
New Brunswick 555 1 0.18 8 0 0.00 1.44 711.54 10.26 1 in 1405
Newfoundland and Labrador 358 3 0.85 4 0 0.00 1.12 686.66 7.67 1 in 1456
Nunavut 247 2 0.82 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 84 0 0.00 0 0 NaN 0.00 531.11 0.00 1 in 1883
Yukon 58 0 0.00 1 0 0.00 1.72 1411.95 24.34 1 in 708
Northwest Territories 20 0 0.00 0 0 NaN 0.00 445.39 0.00 1 in 2245
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 49090.16 910.20 1 in 20
India 7361.49 106.81 1 in 136
Brazil 32872.08 865.38 1 in 30
Russia 18007.25 317.81 1 in 56
France 35904.69 860.89 1 in 28
United Kingdom 27633.19 965.13 1 in 36
Italy 30188.08 1058.80 1 in 33
Turkey 22395.85 200.46 1 in 45
Spain 37089.05 1020.66 1 in 27
Argentina 33761.06 918.64 1 in 30
Colombia 28878.58 792.05 1 in 35
Germany 16138.43 264.52 1 in 62
Mexico 9608.64 880.06 1 in 104
Poland 29665.61 597.05 1 in 34
Iran 13563.55 640.08 1 in 74
Peru 30492.48 1135.97 1 in 33
Ukraine NA NA 1 in NA
South Africa 15038.17 407.37 1 in 66
Netherlands 35717.69 588.13 1 in 28
Indonesia 2316.78 70.66 1 in 432

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 512872 8269 1.61
Cook Illinois 349461 7319 2.09
Miami-Dade Florida 255462 3965 1.55
Maricopa Arizona 250319 4324 1.73
Harris Texas 205928 3142 1.53
Dallas Texas 158336 1728 1.09
Clark Nevada 139053 1994 1.43
San Bernardino California 124264 1215 0.98
Broward Florida 119429 1730 1.45
Tarrant Texas 118207 1175 0.99
Riverside California 115329 1573 1.36
San Diego California 102468 1137 1.11
Queens New York 101449 7402 7.30
Kings New York 100141 7555 7.54
Orange California 99393 1680 1.69
Bexar Texas 93476 1574 1.68
Salt Lake Utah 93065 466 0.50
El Paso Texas 92584 1350 1.46
Milwaukee Wisconsin 82328 826 1.00
Philadelphia Pennsylvania 79646 2127 2.67
Hennepin Minnesota 78430 1231 1.57
Wayne Michigan 75798 3412 4.50
Suffolk New York 73281 2108 2.88
Palm Beach Florida 72247 1766 2.44
Bronx New York 70667 5048 7.14
Nassau New York 69636 2294 3.29
Franklin Ohio 68157 692 1.02
Hillsborough Florida 64999 985 1.52
Orange Florida 63281 679 1.07
St. Louis Missouri 59470 1152 1.94
Westchester New York 58244 1558 2.67
Middlesex Massachusetts 57947 2522 4.35
Marion Indiana 57178 958 1.68
Utah Utah 56933 173 0.30
Cuyahoga Ohio 55093 828 1.50
Oakland Michigan 54497 1476 2.71
Shelby Tennessee 54465 737 1.35
DuPage Illinois 54080 895 1.65
King Washington 53282 912 1.71
New York New York 51664 3242 6.28
Pima Arizona 50852 799 1.57
Mecklenburg North Carolina 50535 483 0.96
Duval Florida 49697 678 1.36
Kern California 49232 467 0.95
Davidson Tennessee 49076 470 0.96
Oklahoma Oklahoma 48215 367 0.76
Sacramento California 47473 670 1.41
Hidalgo Texas 47109 2121 4.50
Prince George’s Maryland 46877 985 2.10
Douglas Nebraska 46634 417 0.89
Fairfield Connecticut 46615 1588 3.41
Fulton Georgia 46499 748 1.61
Providence Rhode Island 46213 1114 2.41
Gwinnett Georgia 46030 564 1.23
Santa Clara California 45986 526 1.14
Will Illinois 45881 668 1.46
Essex Massachusetts 45050 1521 3.38
Macomb Michigan 44660 1418 3.18
Jefferson Kentucky 44085 480 1.09
Suffolk Massachusetts 43986 1296 2.95
Fresno California 43071 542 1.26
Lake Illinois 42727 712 1.67
Hamilton Ohio 42448 393 0.93
Denver Colorado 42288 596 1.41
Travis Texas 42136 505 1.20
Essex New Jersey 40650 2294 5.64
Jefferson Alabama 40232 558 1.39
Bergen New Jersey 40115 2196 5.47
Allegheny Pennsylvania 39227 681 1.74
Tulsa Oklahoma 39129 310 0.79
Kent Michigan 39032 452 1.16
Montgomery Maryland 38812 1017 2.62
New Haven Connecticut 37836 1360 3.59
Pinellas Florida 37387 945 2.53
Polk Iowa 37334 368 0.99
Hudson New Jersey 36850 1629 4.42
Kane Illinois 36498 528 1.45
Alameda California 36281 542 1.49
Middlesex New Jersey 36246 1544 4.26
Fairfax Virginia 36115 641 1.77
Lubbock Texas 35977 457 1.27
Hartford Connecticut 35878 1686 4.70
Adams Colorado 34945 414 1.18
Passaic New Jersey 34930 1372 3.93
El Paso Colorado 34784 419 1.20
Cobb Georgia 34687 532 1.53
Wake North Carolina 34423 322 0.94
Lake Indiana 34357 524 1.53
Lee Florida 34177 613 1.79
Bernalillo New Mexico 33702 418 1.24
Baltimore Maryland 33539 815 2.43
Ramsey Minnesota 33375 585 1.75
Sedgwick Kansas 32709 199 0.61
Arapahoe Colorado 32681 494 1.51
Waukesha Wisconsin 32498 298 0.92
Erie New York 32489 948 2.92
Johnson Kansas 32163 339 1.05
Union New Jersey 32101 1475 4.59
San Joaquin California 32044 534 1.67
Worcester Massachusetts 31896 1352 4.24

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc